Test Oracle Generation

• Automated Assertion Generation via Information Retrieval and Its Integration with Deep Learning
• TOGA: A Neural Method for Test Oracle Generation

Mobile Testing

• Use of Test Doubles in Android Testing: An In-Depth Investigation

• Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps

Code Review & Continuous Integration

• Less is More: Supporting Developers in Vulnerability Detection during Code Review
• AutoTransform: Automated Code Transformation to Support Modern Code Review Process
• Using Pre-Trained Models to Boost Code Review Automation
• Bots for Pull Requests: The Good, the Bad, and the Promising
• BuildSheriff: Change-Aware Test Failure Triage for Continuous Integration Builds

Bug Report

• BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats
• GIFdroid: Automated Replay of Visual Bug Reports for Android Apps

Fault Localisation & Automated Program Repair

• Fast Changeset-based Bug Localization with BERT
• Fault Localization via Efficient Probabilistic Modeling of Program Semantics
• Trust Enhancement Issues in Program Repair
• Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge

Flakiness

• FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment
• Preempting Flaky Tests via Non-Idempotent-Outcome Tests
• Repairing Order-Dependent Flaky Tests via Test Generation

Testing Deep Learning Systems

• Towards Training Reproducible Deep Learning Models

Fairness Assessment on Software Systems

• Explanation-Guided Fairness Testing through Genetic Algorithm
• Fairness-aware Configuration of Machine Learning Libraries
• NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Miscellaneous

• Code Authorship Attribution: RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
• Generating Logging Statements: Using Deep Learning to Generate Complete Log Statements
• Code Reuse: The Extent of Orphan Vulnerabilities from Code Reuse in Open Source Software
• Name-Value Inconsistencies: Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies